Using Fiscal Ratios to Predict Local Fiscal Distress

Posted: 7 Jun 2018

See all articles by Evgenia Gorina

Evgenia Gorina

University of Texas at Dallas - School of Economic, Political and Policy Sciences

Marc D. Joffe

Public Sector Credit Solutions

Craig Maher

University of Nebraska at Omaha - School of Public Administration

Multiple version iconThere are 2 versions of this paper

Date Written: 04/24/2018

Abstract

We will collect audited financial and socioeconomic data for a large sample of local governments between 2008 and 2016 to create a fiscal scoring system for cities and counties based on our previous work, work done by Pew and the leading academics. City and county scores will be reported on a 0-100 scale, with clearly delineated distressed and non-distressed ranges. The objective of the scoring system is to classify local governments based on their fiscal health (ranging from adequate to severely distressed). The classification scheme will have strong face validity, will be methodologically rigorous and defendable to academic and practitioner audiences; and will be replicable from year to year.

Suggested Citation

Gorina, Evgenia and Joffe, Marc D. and Maher, Craig, Using Fiscal Ratios to Predict Local Fiscal Distress (04/24/2018). MERCATUS WORKING PAPER, Available at SSRN: https://ssrn.com/abstract=3191315

Evgenia Gorina (Contact Author)

University of Texas at Dallas - School of Economic, Political and Policy Sciences ( email )

P.O. Box 830688, GR 31
Richardson, TX 75083
United States

Marc D. Joffe

Public Sector Credit Solutions ( email )

1655 N. California Blvd.
Suite 223
Walnut Creek, CA 94596
United States
14155780558 (Phone)

HOME PAGE: http://www.publicsectorcredit.org

Craig Maher

University of Nebraska at Omaha - School of Public Administration ( email )

Omaha, NE
United States

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